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  Representation learning algorithms for inferring machine independent latent features in pedestals in JET and AUG

Järvinen, A. E., Kit, A., Poels, Y. R. J., Wiesen, S., Menkovski, V., Frassinetti, L., et al. (2024). Representation learning algorithms for inferring machine independent latent features in pedestals in JET and AUG. Physics of Plasmas, 31: 032508. doi:10.1063/5.0177005.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-05CA-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-130D-E
Genre: Journal Article

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 Creators:
Järvinen, A. E.1, Author
Kit, A.1, Author
Poels, Y. R. J.1, Author
Wiesen, S.1, Author
Menkovski, V.1, Author
Frassinetti, L.1, Author
Dunne, M.2, Author                 
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
JET Contributors, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Physics of the Plasma Edge (E2), Max Planck Institute for Plasma Physics, Max Planck Society, ou_3504923              

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Free keywords: Konferenzbeitrag
 Abstract: -

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Language(s): eng - English
 Dates: 20222024
 Publication Status: Issued
 Pages: 11 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0177005
 Degree: -

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Project name : Euratom Research and Training Programme 2021-2027 – EUROfusion
Grant ID : 101052200
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: Physics of Plasmas
  Subtitle : 4th International Conference on Data-Driven Plasma Science (ICDDPS-4), Okinawa, 2023-04-16 to 2023-04-21
Source Genre: Journal
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Publ. Info: Melville, NY : AIP Publishing
Pages: - Volume / Issue: 31 Sequence Number: 032508 Start / End Page: - Identifier: ISSN: 1070-664X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000318080